The tool automatically executes algorithms consisting of permutations of values for each parameter across processes and stages.

Users can compare the outcomes of various algorithms to identify the optimal set of processes and parameters for the specific application.

Users can select features and pattern classification parameters to process these image sets automatically.

CVIP-FEPC allows users to define training and test sets and conduct multiple experiments to identify parameters for classifying objects of interest in the photos.

The CVIP Toolbox also includes a CVIPlab skeleton program and a utility function for batch processing.